cv :: Mat框架和SCILAB

Question

我在opencv中有一个框架，我不想使用imwrite（）保存，我使用此代码来提取每个通道并保存它，并打开这三个文件并合并新框架的第一个位置是C++代码：

......... 
    mean_fb.open("d:\\mean_blue",ios::out); 
ostream osb(&mean_fb); 
mean_fg.open("d:\\mean_green",ios::out); 
ostream osg(&mean_fg); 
mean_fr.open("d:\\mean_red",ios::out); 
ostream osr(&mean_fr); 
resultframe *= 1.0/255.0; // adjusting the colors of the mean value 
for(int row = 0; row < resultframe.rows; row++) { 
    for (int col = 0; col < resultframe.cols; col++) { 
    // std::cout << resultframe.at<cv::Vec3f>(row, col)[1] <<std::endl; 
     std::cout << resultframe.at<cv::Vec3f>(row, col)[2] <<std::endl; 

     //fwrite(&resultframe.at<cv::Vec3f>(row,col)[0],sizeof(float),1,inpR); 
     osr<< resultframe.at<cv::Vec3f>(row, col)[0]<<"\n"; 
     osg<< resultframe.at<cv::Vec3f>(row, col)[1]<<"\n"; 
     osb<< resultframe.at<cv::Vec3f>(row, col)[2]<<"\n"; 
    } 
} 
....... 

保存的文件是正确的，所以我打开他们使用SCILAB由帧为1920 * 1080的路上，这里是SCILAB代码：

clear 
    clc 
    stacksize('max'); 
    cd 'd:\' 
    width = 1080; 
    height =1920 ; 
    im = zeros(width, height); 
    // read the values of the red channel 

    red = mgetl('mean_red'); // read the file as 
    red = matrix(red,[width, height]); 
    red = strtod(red); 
    im(:,:,3) = red;// because opencv defaullt color Model is BGR 
    clear red; // clear red to get enough stack 



    // read the values of the green channel 

green = mgetl('mean_green'); // read the file as 
green = matrix(green,[width,height]); 
green = strtod(green); 
im(:,:,2) = green; 
    clear green; 


    // read the values of the blue channel 

    blue = mgetl(mean_blue'); // read the file as 
    blue = matrix(blue,[width, height]); 
    blue = strtod(blue); 
    im(:,:,1) =blue ; 
    clear blue; 


imshow(im);///////////////////////////////////////// 

这是我获得的条纹图像的一部分： 感谢您的帮助

Answer 1

看来你得到的宽度和高度参数相反。图像可能会被调换。

Answer 2

特德W¯¯的建议后，我想，也许我不得不切换宽度和高度不SCILAB但在C++和这个工作所以这里是代码，如果有人需要它：

mean_fb.open("d:\\mean_blue",ios::out); 
ostream osb(&mean_fb); 
mean_fg.open("d:\\mean_green",ios::out); 
ostream osg(&mean_fg); 
mean_fr.open("d:\\mean_red",ios::out); 
ostream osr(&mean_fr); 
    adjusting the colors of the mean value 
for (int col = 0; col < resultframe.cols; col++) { 
    for(int row = 0; row < resultframe.rows; row++) { 
    // std::cout << resultframe.at<cv::Vec3f>(row, col)[1] <<std::endl; 
     std::cout << resultframe.at<cv::Vec3f>(row, col)[2] <<std::endl; 

     //fwrite(&resultframe.at<cv::Vec3f>(row,col)[0],sizeof(float),1,inpR); 
     osb<< resultframe.at<cv::Vec3f>(row, col)[0]<<"\n"; 
     osg<< resultframe.at<cv::Vec3f>(row, col)[1]<<"\n"; 
     osr<< resultframe.at<cv::Vec3f>(row, col)[2]<<"\n"; 
    } 
} 
mean_fb.close(); 
mean_fr.close(); 
mean_fg.close(); 


std_fb.open("d:\\std_blue",ios::out); 
ostream std_osb(&std_fb); 
std_fg.open("d:\\std_green",ios::out); 
ostream std_osg(&std_fg); 
std_fr.open("d:\\std_red",ios::out); 
ostream std_osr(&std_fr); 

for (int col = 0; col < deviationframe.cols; col++) { 
    for(int row = 0; row < deviationframe.rows; row++) { 

     std::cout << deviationframe.at<cv::Vec3f>(row, col)[2] <<std::endl; 
     std_osb<< deviationframe.at<cv::Vec3f>(row, col)[0]<<"\n"; 
     std_osg<< deviationframe.at<cv::Vec3f>(row, col)[1]<<"\n"; 
     std_osr<< deviationframe.at<cv::Vec3f>(row, col)[2]<<"\n"; 
    } 
} 
std_fb.close(); 
std_fr.close(); 
std_fg.close();